Claude Code Plugins

Community-maintained marketplace

Feedback

youtube-transcript

@glebis/claude-skills
2
0

Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name youtube-transcript
description Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.

YouTube Transcript

Overview

Extract YouTube video transcripts, metadata, and chapters using yt-dlp. Output formatted as Markdown with YAML frontmatter, saved to ~/Brains/brain/ (Obsidian vault).

Quick Start

To extract a transcript from a YouTube video:

python scripts/extract_transcript.py <youtube_url>

Optional: Specify custom output filename:

python scripts/extract_transcript.py <youtube_url> custom_filename.md

Output Format

YAML Frontmatter

The generated Markdown includes comprehensive metadata:

  • title - Video title
  • channel - Channel name
  • url - YouTube URL
  • upload_date - Upload date (YYYY-MM-DD)
  • duration - Video duration (HH:MM:SS)
  • description - Video description (truncated to 500 chars)
  • tags - Array of video tags
  • view_count - View count
  • like_count - Like count

Body Structure

Transcript organized by video chapters (if available):

## Chapter Title

**00:05:23** Transcript text for this segment.

**00:05:45** Next segment text.

If no chapters exist, all content appears under "## Transcript" heading.

Timestamps formatted as HH:MM:SS for consistency.

Workflow

  1. Extract metadata and subtitles using yt-dlp
  2. Parse VTT subtitle format to extract timestamps and text
  3. Group transcript segments by video chapters (if present)
  4. Format as Markdown with YAML frontmatter
  5. Save to ~/Brains/brain/ with sanitized filename based on video title
  6. Clean up temporary subtitle files

Deduplication

To remove duplicates from existing transcript files:

python scripts/deduplicate_transcript.py <markdown_file>

This removes transcript entries that are prefixes of subsequent entries (common in VTT files where subtitles accumulate).

Requirements

Ensure yt-dlp is installed:

pip install yt-dlp

Limitations

  • Extracts subtitles in English first, falls back to Russian if English unavailable
  • Requires video to have subtitles (auto-generated or manual)
  • Does not download video or audio files
  • Description truncated to 500 characters in frontmatter